By
–
♻️ If this helps, share it. Someone may needs this reminder today 🙂
— Charly Wargnier (@DataChaz) 30 novembre 2025
Follow me → @datachaz for daily drops on LLMs, agents, and data workflows! 🦾 https://t.co/0QvThOkqE6
If this helps, share it. Someone may needs this reminder today 🙂 Follow me → @datachaz for daily drops on LLMs, agents, and data workflows!
By
–
MongoDB’s AI resource hub is an absolute goldmine! 🔥
— Charly Wargnier (@DataChaz) 30 novembre 2025
Clean explanations, practical demos, & a real production focus:
↳ Vector search pipelines
↳ Memory-capable agents
↳ Storage architectures
↳ Indexing, caching, security
One of the best collections out there. Link in 🧵↓ pic.twitter.com/n2AqUKPLo4
MongoDB’s AI resource hub is an absolute goldmine! Clean explanations, practical demos, & a real production focus: ↳ Vector search pipelines
↳ Memory-capable agents
↳ Storage architectures
↳ Indexing, caching, security One of the best collections out there. Link in ↓
By
–
Serverless LangChain Agent Deployment on AWS Made by the LangChain Community Deploy LangChain agents on AWS Lambda using LangGraph's DynamoDB checkpoints for stateful conversations in serverless. By AWS Community Builder Thomas. Watch the tutorial:
By
–
[ V0.ASI.ETH ] Autopoietic ASI Agent (ASI.eth v0) #ASI #ASIFirst #Superintelligence
By
–
Pretty common behavior; check out https://
github.com/mintmcp/agent-
security
… for a solution
By
–
Phone Calling Agents Course Made by the LangChain Community Build production-ready voice AI agents for real calls via Twilio. Uses Opik (native LangChain integration), open-source models, multi-week course with live sessions. Check it out: https://
github.com/neural-maze/re
altime-phone-agents-course
…
By
–
Factories don’t need to start from scratch to use AI.
Agentic AI works with legacy systems, not against them — turning existing data into real-time decisions. Full article here: https://
buff.ly/UfalIFW #sponsored #archsystems_iiot #AgenticAI
By
–
PeopleHub: AI-Powered LinkedIn Intelligence Made by the LangChain Community Open-source LinkedIn intelligence by Meir Kadosh. Uses LangGraph 1.0.1 to orchestrate automated research workflows—profile analysis, parallel scraping, and AI-generated reports. Check it out on
By
–
AI Agents Are Killing Brand Loyalty — And Reshaping How We Shop As AI agents start making purchase decisions, brands are losing direct influence. The power is shifting — determine how you’ll stay relevant in a world where bots buy for people. Read more
By
–
9. Multi-Agent Collaboration for Multimodal LLMs introduces a framework where vision models serve as “eyes” for language models through multi-agent collaboration.